Shypd.aiThe largest open index of AI toolsRecommenderSystem-Paper is an Open Source research tool that curates a collection of papers, tools, and frameworks related to recommender systems. It provides a convenient resource for academics and researchers to explore foundational and cutting-edge work in the field.
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RecommenderSystem-Paper is an open-source GitHub repository that serves as a curated collection of significant papers, tools, and frameworks within the domain of recommender systems. It is designed to assist researchers and academics by providing a centralized resource for reading and exploring key advancements. The repository categorizes papers by conference (e.g., KDD, ICDM, AAAI, WWW, NIPS, ICML, CIKM, SIGIR, Recsys, WSDM) and by interesting topics such as Cold Start and Deep Learning. Beyond academic papers, it also lists useful recommender system engines like Mosaic and Crab, and algorithm frameworks such as Surprise and LightFM, making it a comprehensive resource for understanding and implementing recommender technologies.
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